Project Engineer

Job Description

Job Summary

Location: University of Warwick Campus, Coventry

Contract Type: Fixed-term until 31 March 2027, with potential for a one-year extension
Department: CiMAT (Centre for Imaging, Metrology, and Additive Technologies)

About the Role

The CiMAT team at the University of Warwick is seeking a creative and motivated Research Fellow to develop cutting-edge deep learning techniques for X-ray image processing.

X-ray Computed Tomography (XCT) is widely used in industry for materials development, defect detection, and next-generation battery manufacturing. However, long acquisition times remain a significant limitation.

This project aims to accelerate image acquisition while maintaining high-quality reconstructions using AI and machine learning techniques.

Key Responsibilities

Develop AI models to generate synthetic X-ray projections for dataset upscaling
Apply AI-based denoising at both acquisition and post-reconstruction stages
Assess the impact of deep learning methods on real-world industrial datasets

This position is available full-time but we welcome applications for part-time or flexible working arrangements where possible.

For informal inquiries, please contact Jay Warnett (Associate Professor – Reader) at j.m.warnett@warwick.ac.uk.

About You

Strong background in AI and machine learning tools (PyTorch, TensorFlow)
Experience with image processing and segmentation
Prior knowledge of X-ray imaging or reconstruction is not required (training will be provided), but experience with medical or industrial imaging is a plus
Ability to work in a collaborative research environment

Why Join Us?

• Access to high-end computing resources (1TB RAM, 4090 GPUs, multi-GPU servers)
  Work within the National Facility in X-ray CT, using five advanced X-ray scanners
•  Join a leading research team tackling real-world industrial challenges

Application Details

Closing Date: Thursday, 6 March 2025 (11:55 p.m.)

Full details, including duties and selection criteria, can be found on the University of Warwick’s jobs page. Click Apply to access the official vacancy listing.